Role Overview

We are seeking a highly analytical and strategic Quantitative Strategy to lead the development of data-driven frameworks that support high-value business and operational decisions.

This role is ideal for someone who combines strong quantitative skills with strategic judgment, game-theory reasoning, and the ability to think several steps ahead. The right candidate will analyze complex data, identify patterns, evaluate risks and opportunities, and help leadership determine the most effective strategies in a fast-paced and evolving environment.

This position requires someone who can build practical decision-making models, understand incentives and likely responses, and translate complex analysis into clear, actionable recommendations for executive leadership.

Key Responsibilities

• Develop quantitative strategy frameworks to support business, operational, and financial decision-making.
• Use game theory, probability, and expected-value analysis to evaluate strategic options, incentives, risks, and likely outcomes.
• Analyze large datasets, historical outcomes, and business trends to identify opportunities for improved performance.
• Build decision models and strategic frameworks that account for multiple variables, including risk, cost, timing, probability, and expected return.
• Create scenario analyses, forecasting models, and strategic comparisons to guide leadership decisions.
• Develop portfolio-level strategies designed to improve aggregate results across a high volume of matters or business opportunities.
• Identify patterns across cases, categories, markets, counterparties, and outcomes while keeping recommendations practical and actionable.
• Evaluate current business processes and strategic decisions to identify inefficiencies, missed opportunities, and areas for improvement.
• Partner with operations, legal, finance, technical, and business teams to understand objectives, constraints, data needs, and decision points.
• Support the creation of dashboards, reports, and decision-support tools that enable better and faster decision-making.
• Translate complex analytical findings into clear recommendations for leadership and non-technical stakeholders.
• Monitor strategy performance after implementation and recommend adjustments based on measurable outcomes.
• Help leadership anticipate market behavior, stakeholder responses, and changing business dynamics.

Qualifications

• Bachelor’s degree in Economics, Mathematics, Statistics, Data Science, Finance, Operations Research, Industrial Engineering, Computer Science, Business Analytics, or a related field.
• 5+ years of experience in quantitative strategy, analytics, decision science, consulting, operations strategy, business analysis, or a similar role.
• Strong understanding of game theory, incentives, probability, expected value, risk analysis, and strategic decision-making under uncertainty.
• Strong ability to analyze complex data and translate insights into practical business recommendations.
• Experience building models, decision frameworks, dashboards, or analytical tools.
• Excellent problem-solving skills and strong attention to detail.
• Strong written and verbal communication skills, with the ability to simplify complex concepts for non-technical audiences.
• Strong Excel skills required.
• Experience with SQL, Python, BI tools, statistical modeling, forecasting, optimization, or data visualization tools is strongly preferred.

Preferred Experience

• Experience in healthcare, finance, consulting, revenue cycle, legal operations, insurance, analytics, or other complex operational environments.
• Experience working with large datasets and multi-variable decision frameworks.
• Exposure to regulatory, compliance-driven, or high-stakes business environments.
• Experience with predictive modeling, optimization, simulation, machine learning, or portfolio-level analysis.
• Background in game theory, behavioral economics, competitive strategy, negotiation analysis, or operations research.
• Experience working cross-functionally with operations, legal, finance, technical, and executive teams.

Requirements

• Native-level English fluency, written and spoken.
• Strong analytical and critical-thinking skills.
• Proficiency in Microsoft 365 and general computer tools.
• Strong work ethic and ability to work independently.
• High level of discretion and professionalism.
• Reliable home internet connection, preferably wired/router-based rather than Wi-Fi.
• Availability for at least 4–5 hours of overlap with U.S. business hours.
• Full-time availability, 40 hours per week.

What Success Looks Like

Success in this role means helping the company make better strategic decisions by combining quantitative analysis, data modeling, game-theory reasoning, and practical business judgment.

Top performers will be able to look at a complex situation, identify the key variables, understand the incentives of the parties involved, and recommend a clear path forward. They will not only explain what happened, but why it happened, what is likely to happen next, and what the company should do about it.

The ideal candidate is highly analytical, intellectually curious, organized, and comfortable with ambiguity. They can think independently, challenge assumptions, and communicate recommendations clearly. A strong ownership mindset, sound judgment, and the ability to think several steps ahead are essential for success in this position.